Group/DivisionThe Information Technology (IT) group at KLA is involved in every aspect of the global business. IT's mission is to enable business growth and productivity by connecting people, process, and technology. It focuses not only on enhancing the technology that enables our business to thrive but also on how employees use and are empowered by technology. This integrated approach to customer service, creativity and technological excellence enables employee productivity, business analytics, and process excellence.
Job Description/Preferred QualificationsKey Responsibilities:- Designing and developing AI agents and business solutions using Microsoft Copilot Studio, Microsoft 365 Copilot extensibility, SharePoint Agents, Teams Agents, Azure AI services, Google Gemini, Gemini Enterprise, and Google Workspace AI capabilities
- Building and maintaining AI extensions, plugins, skills, actions, custom connectors, and workflow automations across approved Microsoft and Google AI platforms
- Configuring and enhancing Microsoft 365 Copilot, Cowork, Scout, SharePoint Agents, Teams Agents, Google Gemini experiences, and future AI capabilities from both ecosystems
- Integrating AI solutions with enterprise applications such as SAP, ServiceNow, Snowflake, Workday, Oracle, SharePoint, Dataverse, Google Workspace, APIs, and custom systems
- Implementing enterprise MCP integrations and AI-powered workflows in alignment with architecture, governance, and platform standards.
Preferred Qualifications:- Experience building AI agents, copilots, chatbots, workflow automations, or productivity assistants for business users.
- Hands-on experience with Microsoft Copilot Studio, Copilot, Cowork, Power Platform, Azure AI, Google Gemini, Gemini Enterprise, Google Workspace AI, or Google Cloud AI services.
- Experience creating proofs of concept, demos, solution documentation, training materials, and user adoption guides.
- Familiarity with responsible AI practices, data privacy, access control, prompt design, knowledge grounding, and AI governance concepts.
- Experience integrating AI solutions with enterprise systems such as ServiceNow, SAP, Workday, Snowflake, SharePoint, Dataverse, or APIs.
- Microsoft, Power Platform, Azure AI, Google Cloud, or Google Gemini certifications are a plus.
Minimum Qualifications- Bachelor's degree in Computer Science, Information Systems, Engineering, Business Technology, or related field, or equivalent practical experience.
- Five (5) years of experience in software development, automation, business applications, enterprise productivity platforms, solution consulting, or AI-enabled technology delivery.
- Experience with Microsoft 365, Copilot, Cowork, Power Platform, Copilot Studio, Azure AI, Google Workspace, Google Gemini, or similar enterprise AI/productivity platforms.
- Ability to gather business requirements, document use cases, and translate business needs into practical technology solutions.
- Basic understanding of APIs, connectors, workflows, data sources, access controls, and enterprise application integrations.
- Strong communication, presentation, problem-solving, and stakeholder engagement skills.
- Ability to work independently on assigned use cases while collaborating with architects, platform owners, security teams, and business stakeholders.
Base Pay Range: $0.00 - $0.00 Annually
Primary Location: USA-MI-Ann Arbor-KLA
KLA's total rewards package for employees may also include participation in performance incentive programs and eligibility for additional benefits including but not limited to: medical, dental, vision, life, and other voluntary benefits, 401(K) including company matching, employee stock purchase program (ESPP), student debt assistance, tuition reimbursement program, development and career growth opportunities and programs, financial planning benefits, wellness benefits including an employee assistance program (EAP), paid time off and paid company holidays, and family care and bonding leave.
Interns are eligible for some of the benefits listed. Our pay ranges are determined by role, level, and location. The range displayed reflects the pay for this position in the primary location identified in this posting. Actual pay depends on several factors, including state minimum pay wage rates, location, job-related skills, experience, and relevant education level or training. We are committed to complying with all applicable federal and state minimum wage requirements where applicable. If applicable, your recruiter can share more about the specific pay range for your preferred location during the hiring process.
